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## latency.txt
Latency Comparison Numbers (~2012)
----------------------------------
L1 cache reference                           0.5 ns
Branch mispredict                            5   ns
L2 cache reference                           7   ns                      14x L1 cache
Mutex lock/unlock                           25   ns
Main memory reference                      100   ns                      20x L2 cache, 200x L1 cache
Compress 1K bytes with Zippy             3,000   ns        3 us
Send 1K bytes over 1 Gbps network       10,000   ns       10 us
Read 4K randomly from SSD*             150,000   ns      150 us          ~1GB/sec SSD

## llm-wiki.md

      
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                karpathy
                / llm-wiki.md
            
            
              Created
              April 4, 2026 16:25
            
              
                llm-wiki
              
          
    LLM Wiki

A pattern for building personal knowledge bases using LLMs.
This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.
The core idea

Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.

  
## linux-heroic-fitgirl-tutorial.md

      
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                kguzek
                / linux-heroic-fitgirl-tutorial.md
            
            
              Last active
              October 11, 2026 19:50
            
              
                An installation guide for installing games from FitGirl Repacks in the Heroic game launcher on Linux.
              
          
    FitGirl Repacks Installation for Heroic Launcher

Linux Tutorial by Konrad Guzek


Download the repack through your torrent client


Use md5sum to ensure the correct checksums for each bin file. You will need to convert the Windows file paths & comments to Linux equivalents using sed:
sed 's/^;/#/; s#\.\.\\#./#g' MD5/fitgirl-bins.md5 > MD5/fitgirl-bins-linux.md5


md5sum -c MD5/fitgirl-bins-linux.md5

  
## idiomatic_go_v2.md

      
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                ashokallu
                / idiomatic_go_v2.md
            
            
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              October 11, 2026 19:48
            
              
                Idiomatic Go Programming Guide 2025+ - Gold Standard Edition
              
          
    Idiomatic Go Programming Guide 2025+ - Gold Standard Edition


"Go is about making software engineering more effective, not just making programmers more productive." - The Go Team

Target Go Version: Go 1.23+ (examples align with 1.23–1.24 features)

Executive Summary


## cache_gap_check
#!/usr/bin/env python3
"""cache_gap_check.py - READ-ONLY. Is raising subagentPromptCacheTtl 5m -> 1h likely worth it?

Scans Claude Code transcripts (~/.claude/projects/**/*.jsonl) for subagent (sidechain)
requests, measures idle gaps between each subagent's consecutive requests, and estimates
cache cost under the current 5m TTL vs a hypothetical 1h TTL, in multiples of base input
price. Python 3 stdlib only. Never writes files and makes no network calls.
"""
import argparse, json, os, sys
from collections import defaultdict

## fast_api_installations.md

      
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                ricardocuellar
                / fast_api_installations.md
            
            
              Last active
              October 11, 2026 19:36
            
              
                Instalaciones recomendadas para VSCode - FastAPI
              
          
    Instalaciones recomendadas - Curso de FastAPI desde cero: crea APIs con Python


Generales


Instalar Python
Verificar instalación de Python

python3 --version	 (Para MacOs y Linux)
python --version  (Para Windows)


Instalar editor de código o IDE. (Elige el que más se acomode a ti)


## SKILL.md

      
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                k16shikano
                / SKILL.md
            
            
              Last active
              October 11, 2026 19:33
            
              
                japanese-tech-writing/SKILL
              
          
    name
    japanese-tech-writing
  
  
    description
    日本語の技術文書・書籍原稿の文章規範。段落と論証の構成（パラグラフライティング）、論証の厳密さ（ツッコミどころの除去）、読み手の負荷の管理、視点と語り、演出の抑制、LLM っぽい空句の禁止、翻訳調の比喩と擬人化の禁止（「運ぶ」「効く」「開かれた問い」など）、冗長の排除を定める。日本語で技術書の章、草稿、記事、解説文を書くとき、または推敲・リライトするときに使用する。
  
  
    license
    Unlicense（https://gist.github.com/k16shikano/67625f2a7d96e3bbdfae8d571a936063）
  
  
日本語技術文書の文章規範

日本語で技術的な原稿（書籍の章、記事、解説文）を書く・推敲するときは、以下の規範に従う。

  
## Prompt_Engineering_v7_ru.md

      
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                valmat
                / Prompt_Engineering_v7_ru.md
            
            
              Created
              April 10, 2025 13:15
            
          
    Prompt Engineering

Автор: Lee Boonstra

Благодарности

Содержание предоставили:

Michael Sherman
Yuan Cao


## libev.odin
package libev

loop :: struct {}

EvNone :: 0x0
EvRead :: 0x1
EvWrite :: 0x2

EvFlagAuto :: 0x00000000
EvFlagNoEnv :: 0x01000000

## RH342.md

      
              1 file
            
          
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                luckylittle
                / RH342.md
            
            
              Last active
              October 11, 2026 19:27
            
              
                Red Hat RH342 Notes
              
          
    Red Hat Enterprise Linux Diagnostics & Troubleshooting (RH342)

Last update: Fri Jul 26 08:23:20 UTC 2019 by @luckylittle

1. Troubleshooting principles

2. Generic issues
	Latency Comparison Numbers (~2012)
	----------------------------------
	L1 cache reference 0.5 ns
	Branch mispredict 5 ns
	L2 cache reference 7 ns 14x L1 cache
	Mutex lock/unlock 25 ns
	Main memory reference 100 ns 20x L2 cache, 200x L1 cache
	Compress 1K bytes with Zippy 3,000 ns 3 us
	Send 1K bytes over 1 Gbps network 10,000 ns 10 us
	Read 4K randomly from SSD* 150,000 ns 150 us ~1GB/sec SSD
	#!/usr/bin/env python3
	"""cache_gap_check.py - READ-ONLY. Is raising subagentPromptCacheTtl 5m -> 1h likely worth it?

	Scans Claude Code transcripts (~/.claude/projects/*/.jsonl) for subagent (sidechain)
	requests, measures idle gaps between each subagent's consecutive requests, and estimates
	cache cost under the current 5m TTL vs a hypothetical 1h TTL, in multiples of base input
	price. Python 3 stdlib only. Never writes files and makes no network calls.
	"""
	import argparse, json, os, sys
	from collections import defaultdict
name	japanese-tech-writing
description	日本語の技術文書・書籍原稿の文章規範。段落と論証の構成（パラグラフライティング）、論証の厳密さ（ツッコミどころの除去）、読み手の負荷の管理、視点と語り、演出の抑制、LLM っぽい空句の禁止、翻訳調の比喩と擬人化の禁止（「運ぶ」「効く」「開かれた問い」など）、冗長の排除を定める。日本語で技術書の章、草稿、記事、解説文を書くとき、または推敲・リライトするときに使用する。
license	Unlicense（https://gist.github.com/k16shikano/67625f2a7d96e3bbdfae8d571a936063）
	package libev

	loop :: struct {}

	EvNone :: 0x0
	EvRead :: 0x1
	EvWrite :: 0x2

	EvFlagAuto :: 0x00000000
	EvFlagNoEnv :: 0x01000000